#install.packages("kaleido")

Quarto

  1. Follow the steps indicated here https://quarto.org/docs/websites/

  2. More themes https://quarto.org/docs/output-formats/html-themes.html

  3. Add your folder to the public html in Georgetown domain and call it within the domain. (watch the lecture recording for more details - also Lab Q4)

Lab Question 1

  1. First follow above step 1 to open a Quarto Website. https://quarto.org/docs/websites/

  2. Add these tabs as shown in class. (you have to create a .qmd file for each page)

  • About You (You can name this one anyway you wish, All other names below cannot be changed.
  • Introduction
  • Data Sources
  • Data Visualization
  • Exploratory Data Analysis
  • ARMA/ARIMA/SARIMA Models
  • ARIMAX/SARIMAX/VAR
  • Spectral Analysis and Filtering(Optional)
  • Financial Time Series Models (ARCH/GARCH)
  • Deep Learning for TS
  • Conclusions
  1. Use a different theme than mine. More themes can be found here. https://quarto.org/docs/output-formats/html-themes.html
  1. Add this text into the Home page.
  1. Add these text into the Home page and name that page (the title of the page) as “Time Series”.

Q1: https://zy236.georgetown.domains/Lab_qmd_website/_site/index.html

Lab Question 2

let’s insert a new qmd file named as “dv.qmd” (go to Files -> New Files-> Quarto Document) an add the following Data Vizes to that page. Make the title as “Data Vizes in TS”.

However please remember to take it down at the end of the semester if you don’t need that page on your website.

  1. Try to reproduce the Data Vizes similar to in Lab0/1 “Data Viz Examples” but with a
    1. different set of stock prices. (use the quantmod package to get stock prices from yahoo finance https://finance.yahoo.com/lookup/)
    2. Plot the climate data (climate.csv) using plotly. https://plotly.com/r/
    3. Get any economic data / macroeconomic indicators and plot using plotly https://fred.stlouisfed.org/ https://www.bea.gov/

## Warning: Ignoring 1335 observations
  1. Make only the plots visible in your webpage. (set echo=FALSE in your R code chunck)

See this in website

  1. Add interpretations to all the plots in the webpage.

See this in website

So now you will only have the plots and the interpretation in the webpage. You can add titles or can be creative about the page as you want.

  1. Add this Quarto webpage to your Georgetown domain. And submit the URL for the Lab 0/1 assignment.